home / sakila

rental

31 rows where customer_id = 513

✎ View and edit SQL

This data as json, xlsx, CSV (advanced)

Suggested facets: staff_id, last_update, rental_date (date), return_date (date), last_update (date)

rental_id ▼ rental_date inventory_id customer_id return_date staff_id last_update
993 2005-05-30 23:54:19.000 2080 2080 513 513 2005-06-04 21:27:19.000 1 1 2020-12-23 07:15:33
1607 2005-06-16 06:25:35.000 3289 3289 513 513 2005-06-20 02:50:35.000 2 2 2020-12-23 07:15:41
2290 2005-06-18 07:34:37.000 200 200 513 513 2005-06-26 11:45:37.000 1 1 2020-12-23 07:15:51
2737 2005-06-19 15:48:33.000 3131 3131 513 513 2005-06-26 18:44:33.000 2 2 2020-12-23 07:15:57
3872 2005-07-06 18:00:19.000 1785 1785 513 513 2005-07-07 17:26:19.000 1 1 2020-12-23 07:16:14
4055 2005-07-07 03:49:13.000 2561 2561 513 513 2005-07-11 03:15:13.000 2 2 2020-12-23 07:16:16
4178 2005-07-07 10:14:31.000 2898 2898 513 513 2005-07-12 09:38:31.000 2 2 2020-12-23 07:16:18
4220 2005-07-07 12:12:36.000 821 821 513 513 2005-07-10 13:37:36.000 1 1 2020-12-23 07:16:19
5741 2005-07-10 11:55:40.000 2041 2041 513 513 2005-07-16 15:02:40.000 2 2 2020-12-23 07:16:41
6027 2005-07-11 02:26:29.000 4536 4536 513 513 2005-07-18 23:05:29.000 1 1 2020-12-23 07:16:46
7655 2005-07-28 02:01:11.000 2665 2665 513 513 2005-07-30 23:12:11.000 2 2 2020-12-23 07:17:09
8320 2005-07-29 03:49:58.000 1285 1285 513 513 2005-08-03 01:00:58.000 1 1 2020-12-23 07:17:19
8350 2005-07-29 04:50:39.000 3726 3726 513 513 2005-07-31 05:36:39.000 2 2 2020-12-23 07:17:20
8683 2005-07-29 16:15:43.000 3915 3915 513 513 2005-08-07 19:19:43.000 1 1 2020-12-23 07:17:25
8798 2005-07-29 21:15:38.000 800 800 513 513 2005-08-05 02:46:38.000 2 2 2020-12-23 07:17:26
9862 2005-07-31 13:05:03.000 474 474 513 513 2005-08-01 09:05:03.000 2 2 2020-12-23 07:17:42
10012 2005-07-31 18:06:06.000 2554 2554 513 513 2005-08-09 16:47:06.000 2 2 2020-12-23 07:17:44
11081 2005-08-02 07:30:14.000 3804 3804 513 513 2005-08-09 08:50:14.000 1 1 2020-12-23 07:17:59
11165 2005-08-02 10:12:17.000 2059 2059 513 513 2005-08-04 11:09:17.000 1 1 2020-12-23 07:18:00
11407 2005-08-02 19:18:43.000 3437 3437 513 513 2005-08-08 16:15:43.000 2 2 2020-12-23 07:18:03
11755 2005-08-17 09:15:35.000 3457 3457 513 513 2005-08-23 06:28:35.000 2 2 2020-12-23 07:18:08
12559 2005-08-18 14:53:58.000 39 39 513 513 2005-08-25 20:22:58.000 1 1 2020-12-23 07:18:19
12784 2005-08-19 00:02:46.000 447 447 513 513 2005-08-20 04:39:46.000 1 1 2020-12-23 07:18:22
12807 2005-08-19 00:38:46.000 2323 2323 513 513 2005-08-28 03:37:46.000 2 2 2020-12-23 07:18:22
13596 2005-08-20 05:58:58.000 482 482 513 513 2005-08-27 08:35:58.000 1 1 2020-12-23 07:18:34
13690 2005-08-20 09:07:27.000 3721 3721 513 513 2005-08-23 08:03:27.000 2 2 2020-12-23 07:18:36
14844 2005-08-22 02:09:12.000 145 145 513 513 2005-08-31 05:43:12.000 1 1 2020-12-23 07:18:52
14875 2005-08-22 03:34:39.000 3912 3912 513 513 2005-08-26 03:40:39.000 1 1 2020-12-23 07:18:53
15035 2005-08-22 09:34:32.000 339 339 513 513 2005-08-28 10:23:32.000 1 1 2020-12-23 07:18:55
15289 2005-08-22 19:27:24.000 1026 1026 513 513 2005-08-30 22:21:24.000 1 1 2020-12-23 07:18:59
15545 2005-08-23 04:20:16.000 843 843 513 513 2005-08-29 08:22:16.000 1 1 2020-12-23 07:19:03

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE rental (
  rental_id INT NOT NULL,
  rental_date TIMESTAMP NOT NULL,
  inventory_id INT  NOT NULL,
  customer_id INT  NOT NULL,
  return_date TIMESTAMP DEFAULT NULL,
  staff_id SMALLINT  NOT NULL,
  last_update TIMESTAMP NOT NULL,
  PRIMARY KEY (rental_id),
  CONSTRAINT fk_rental_staff FOREIGN KEY (staff_id) REFERENCES staff (staff_id) ,
  CONSTRAINT fk_rental_inventory FOREIGN KEY (inventory_id) REFERENCES inventory (inventory_id) ,
  CONSTRAINT fk_rental_customer FOREIGN KEY (customer_id) REFERENCES customer (customer_id)
);
CREATE INDEX idx_rental_fk_inventory_id ON rental(inventory_id)
;
CREATE INDEX idx_rental_fk_customer_id ON rental(customer_id)
;
CREATE INDEX idx_rental_fk_staff_id ON rental(staff_id)
;
CREATE UNIQUE INDEX idx_rental_uq  ON rental (rental_date,inventory_id,customer_id)
;
Powered by Datasette · Queries took 11.774ms